EGU23-9331, updated on 09 Jan 2024
https://doi.org/10.5194/egusphere-egu23-9331
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Multi-site analysis of the impact of surface ozone on European forests

Inês Vieira1, Félicien Meunier1, Stephen Sitch2, Flossie Brown2, Giacomo Gerosa3, Ivan Janssens4, Pascal Boeckx5, Marijn Bauters1,5, and Hans Verbeeck1
Inês Vieira et al.
  • 1CAVElab, Computational and Applied Vegetation Ecology, Ghent University, Department of Environment, Ghent, Belgium
  • 2College of Environment, Science and Economy, University of Exeter, Exeter, UK
  • 3Faculty of Mathematical, Physical and Natural Sciences, Università Cattolica del Sacro Cuore, Brescia, Italy
  • 4Department of Biology, University of Antwerp, Antwerp, Belgium
  • 5ISOFYS, Isotope Bioscience Laboratory, Department of Green Chemistry and Technology, Ghent University, Ghent, Belgium

Tropospheric Ozone (O3) is a secondary pollutant with a positive radiative forcing and many negative effects on air quality, human health and ecosystems at different scales. In fact, O3 acts as a strong oxidant in plants, negatively impacting many cellular and molecular processes, such as modifying rubisco activity, reducing stomatal conductance and inducing early leaf senescence. Furthermore, when the O3 levels at the surface are high (typically above 40 ppb), these combined effects may decrease the photosynthetic carbon gains, mainly detectable at the leaf level but also important at the tree and stand scales. In this study, we intend to evaluate the effects of O3 on Gross Primary Production (GPP) at four European forest sites (Belgium, France and Italy) using local measurements, both for O3, eddy-covariance (GPP) and meteorological variables (including air temperature (TA), relative humidity (RH), vapour pressure deficit (VPD), short-wave radiation (SW), wind and precipitation). We first applied a series of statistical analyses to identify the impact of O3 and meteorological variables on GPP for each site. In a second step, we used a process-based model that simulates GPP using the Farquhar equations parameterised for each site to quantify O3-induced GPP reductions. Our results showed that the dominant meteo factor is site dependent. The SW appears to be the most important variable for predicting GPP at all sites, contrary to TA and VPD. The Belgium and Italian sites show a correlation of 0.51(0.55) for TA and 0.38(0.48) for VPD, respectively. Whereas in the French site, the TA correlation of 0.55 exceeds the VPD correlation of 0.38. Consequently, the GPP reduction varies along the different sites. This study shows the necessity of long-term monitoring datasets to understand better the O3 impacts at several ecosystems combined with process-based models.

 

How to cite: Vieira, I., Meunier, F., Sitch, S., Brown, F., Gerosa, G., Janssens, I., Boeckx, P., Bauters, M., and Verbeeck, H.: Multi-site analysis of the impact of surface ozone on European forests, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-9331, https://doi.org/10.5194/egusphere-egu23-9331, 2023.